RISS 학술연구정보서비스

검색
다국어 입력

http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.

변환된 중국어를 복사하여 사용하시면 됩니다.

예시)
  • 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
  • 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
닫기
    인기검색어 순위 펼치기

    RISS 인기검색어

      KCI등재 SCIE SCOPUS

      How Automated Speed Enforcement May Reduce Travel Time Variability and Result in Travel Time Savings: The Case Study of the Loop 101 Speed Enforcement Program in Scottsdale, Arizona

      한글로보기

      https://www.riss.kr/link?id=A104779715

      • 0

        상세조회
      • 0

        다운로드
      서지정보 열기
      • 내보내기
      • 내책장담기
      • 공유하기
      • 오류접수

      부가정보

      다국어 초록 (Multilingual Abstract)

      The city of Scottsdale Arizona implemented the first fixed photo Speed Enforcement camera demonstration Program (SEP) on a US freeway in 2006. A comprehensive before-and-after analysis of the impact of the SEP on safety revealed significant reductions...

      The city of Scottsdale Arizona implemented the first fixed photo Speed Enforcement camera demonstration Program (SEP) on a US freeway in 2006. A comprehensive before-and-after analysis of the impact of the SEP on safety revealed significant reductions in crash frequency and severity, which indicates that the SEP is a promising countermeasure for improving safety. However, there is often a tradeoff between safety and mobility when safety investments are considered. As a result, identifying safety countermeasures that both improve safety and reduce Travel Time Variability (TTV) is a desirable goal for traffic safety engineers. This paper reports on the analysis of the mobility impacts of the SEP by simulating the traffic network with and without the SEP, calibrated to real world conditions. The simulation results show that the SEP decreased the TTV: the risk of unreliable travel was at least 23% higher in the ‘without SEP’ scenario than in the ‘with SEP’ scenario. In addition, the total Travel Time Savings (TTS) from the SEP was estimated to be at least ‘569 vehicle-hours/year.’ Consequently, the SEP is an efficient countermeasure not only for reducing crashes but also for improving mobility through TTS and reduced TTV.

      더보기

      참고문헌 (Reference)

      1 Li, R., "Using automatic vehicle identification data to gain insight into travel time variability and its causes" Transportation Research Record 24-32, 2006

      2 Small, K. A., "Uncovering the distribution of motorists' preferences for travel time and reliability" 73 (73): 1367-1382, 2005

      3 Levinson, D, "Travel time variability after a shock: The case of the twin cities ramp meter shut off: The network reliability of transport" Pergamon 2003

      4 FHWA, "Travel time reliability: Making it there on time, all the time"

      5 Sumalee, A, "Travel time reliability in a network with dependent link modes and partial driver response" 5 : 1686-1701, 2003

      6 Caliper, "Transmodeler user's guide: Chapter 7. Microscopic model and parameters" Caliper Corporation 2006

      7 Caliper, "Transmodeler user's guide: Chapter 1. Transmodeler basics" Caliper Corporation 2006

      8 Champness, P, "Time and distance halo effects of an overtly deployed mobile speed camera" 2005

      9 Ha, T., "The effects of automated speed enforcement systems on traffic flow characteristics and accidents in Korea" 73 (73): 28-31, 2003

      10 Stuster, J., "Synthesis of safety research related to speed and speed management" FHWA 1998

      1 Li, R., "Using automatic vehicle identification data to gain insight into travel time variability and its causes" Transportation Research Record 24-32, 2006

      2 Small, K. A., "Uncovering the distribution of motorists' preferences for travel time and reliability" 73 (73): 1367-1382, 2005

      3 Levinson, D, "Travel time variability after a shock: The case of the twin cities ramp meter shut off: The network reliability of transport" Pergamon 2003

      4 FHWA, "Travel time reliability: Making it there on time, all the time"

      5 Sumalee, A, "Travel time reliability in a network with dependent link modes and partial driver response" 5 : 1686-1701, 2003

      6 Caliper, "Transmodeler user's guide: Chapter 7. Microscopic model and parameters" Caliper Corporation 2006

      7 Caliper, "Transmodeler user's guide: Chapter 1. Transmodeler basics" Caliper Corporation 2006

      8 Champness, P, "Time and distance halo effects of an overtly deployed mobile speed camera" 2005

      9 Ha, T., "The effects of automated speed enforcement systems on traffic flow characteristics and accidents in Korea" 73 (73): 28-31, 2003

      10 Stuster, J., "Synthesis of safety research related to speed and speed management" FHWA 1998

      11 Sisiopiku, V. P, "Study of the impact of police enforcement on motorists’ speeds" Transportation Research Record 31-36, 1999

      12 Washington, S. P., "Statistical and econometric methods for transportation data analysis" Chapman & Hall/CRC 2003

      13 Hauer, E., "Speed enforcement and speed choice" 14 (14): 267-278, 1982

      14 Liu, R, "Network effects of intelligent speed adaptation systems" 31 (31): 297-325, 2004

      15 Vaa, T., "Increased police enforcement: Effects on speed" 29 (29): 373-385, 1997

      16 Skabardonis, A., "I-880 field experiment: Data-based development and incident delay estimation procedures" Transportation Research Record 204-212, 1996

      17 Dowling, R., "Guidelines for applying traffic microsimulation modeling software: Final report" California Department of Transportation 2002

      18 Washington, S. P., "Evaluation of the city of Scottsdale loop 101 photo enforcement demonstration program: Final report" Arizona Department of Transportation 2007

      19 Shin, K., "Evaluation of the city of Scottsdale loop 101 automated speed enforcement demonstration program" 41 (41): 393-403, 2009

      20 Chu, L., "Evaluation of potential its strategies under non-recurrent congestion using microscopic simulation" 2004

      21 Rakha, H. A., "Estimating path travel-time reliability" 2006

      22 Oh, J.-S, "Emergence of private advanced traveled information system providers and their effect on traffic network performance" Transportation Research Record 167-177, 2002

      23 Al-Deek, H. M, "Computing travel time reliability in transportation networks with multistates and dependent link failures" 20 (20): 317-327, 2006

      24 Oh, J.-S, "Calculation of travel time variability from loop detector data" Transportation Research Record 12-23, 2006

      25 Kutner, M. H., "Applied linear statistical models" McGraw-Hill Irwin 2005

      26 Hess, S., "Analysis of the effects of speed limit enforcement cameras: Differentiation by road type and catchment area" 1865 : 28-34, 2004

      27 Ullman, G. L, "Analysis of major freeway incidents in Houston, Texas" Transportation Research Record 221-227, 1996

      28 Waard, D, "An experimental study to evaluate the effectiveness of different methods and intensities of law enforcement on driving speed on motorways" 26 (26): 751-765, 1994

      29 Toledo, T., "A simulation-based evaluation of the impact of active speed limiters on traffic flow and safety" 2007

      30 Yang, Q, "A hybrid traffic simulation model" 2006

      더보기

      동일학술지(권/호) 다른 논문

      분석정보

      View

      상세정보조회

      0

      Usage

      원문다운로드

      0

      대출신청

      0

      복사신청

      0

      EDDS신청

      0

      동일 주제 내 활용도 TOP

      더보기

      주제

      연도별 연구동향

      연도별 활용동향

      연관논문

      연구자 네트워크맵

      공동연구자 (7)

      유사연구자 (20) 활용도상위20명

      인용정보 인용지수 설명보기

      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2005-05-27 학술지명변경 한글명 : 대한토목학회 영문논문집 -> KSCE Journal of Civil Engineering KCI등재
      2005-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2004-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2002-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
      더보기

      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.59 0.12 0.49
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.42 0.39 0.286 0.06
      더보기

      이 자료와 함께 이용한 RISS 자료

      나만을 위한 추천자료

      해외이동버튼